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๐Ÿ” sandeep kumar ๐Ÿ“‚ Computer Science
Showing 211 results for "sandeep kumar" in Computer Science
Computer Science Preprint PDF DOI

Boolean PCSPs through the lens of Fourier Analysis

Demian Banakh, Katzper Michno ยท 2026

We develop an analytical framework for Boolean Promise Constraint Satisfaction Problems (PCSPs) that studies polymorphisms through the notion of influence from Fourier analysis of Boolean functions. Eโ€ฆ

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An Unconditional Barrier for Proving Multilinear Algebraic Branching Program Lower Bounds

Deepanshu Kush ยท 2026

Since the breakthrough superpolynomial multilinear formula lower bounds of Raz (Theory of Computing 2006), proving such lower bounds against multilinear algebraic branching programs (mABPs) has been aโ€ฆ

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Near-Optimal Bounds for Parameterized Euclidean k-means

Vincent Cohen-Addad, Karthik C. S., David Saulpic, Chris Schwiegelshohn ยท 2026

The $k$-means problem is a classic objective for modeling clustering in a metric space. Given a set of points in a metric space, the goal is to find $k$ representative points so as to minimize the sumโ€ฆ

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Approximating Pareto Sum via Bounded Monotone Min-Plus Convolution

Geri Gokaj, Marvin Kunnemann, Sabine Storandt, Carina Truschel ยท 2026

The Pareto sum of two-dimensional point sets $P$ and $Q$ in $\mathbb{R}^2$ is defined as the skyline of the points in their Minkowski sum. The problem of efficiently computing the Pareto sum arises frโ€ฆ

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When Relaxation Does Not Help: RLDCs with Small Soundness Yield LDCs

Kuan Cheng, Xin Li, Songtao Mao ยท 2026

Locally decodable codes (LDCs) are error correction codes that allow recovery of any single message symbol by probing only a small number of positions from the (possibly corrupted) codeword. Relaxed lโ€ฆ

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Two NP-hard Extensions of the Spearman Footrule even for a Small Constant Number of Voters

Martin Durand ยท 2026

The Spearman footrule is a voting rule that takes as input voter preferences expressed as rankings. It outputs a ranking that minimizes the sum of the absolute differences between the position of eachโ€ฆ

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One Color Makes All the Difference in the Tractability of Partial Coloring in Semi-Streaming

Avinandan Das ยท 2026

This paper investigates the semi-streaming complexity of \textit{$k$-partial coloring}, a generalization of proper graph coloring. For $k \geq 1$, a $k$-partial coloring requires that each vertex $v$ โ€ฆ

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A Unified Evaluation of Learning-Based Similarity Techniques for Malware Detection

Udbhav Prasad, Aniesh Chawla ยท 2026

Cryptographic digests (e.g., MD5, SHA-256) are designed to provide exact identity. Any single-bit change in the input produces a completely different hash, which is ideal for integrity verification buโ€ฆ

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New Algorithms and Hardness Results for Robust Satisfiability of (Promise) CSPs

Joshua Brakensiek, Lorenzo Ciardo, Venkatesan Guruswami, Aaron Potechin, Stanislav Zivny ยท 2026

In this paper, we continue the study of robust satisfiability of promise CSPs (PCSPs), initiated in (Brakensiek, Guruswami, Sandeep, STOC 2023 / Discrete Analysis 2025), and obtain the following resulโ€ฆ

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QEIL v2: Heterogeneous Computing for Edge Intelligence via Roofline-Derived Pareto-Optimal Energy Modeling and Multi-Objective Orchestration

Satyam Kumar, Saurabh Jha ยท 2026

Deploying large language models (LLMs) on heterogeneous edge devices demands frameworks that jointly optimize energy efficiency, inference quality, and reliability. Our prior QEIL v1 (Kumar & Jha, 202โ€ฆ

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Progress on the Courtade-Kumar Conjecture: Optimal High-Noise Entropy Bounds and Generalized Coordinate-wise Mutual Information

Adel Javanmard, David P. Woodruff ยท 2026

The Courtade-Kumar conjecture posits that dictatorship functions maximize the mutual information between the function's output and a noisy version of its input over the Boolean hypercube. We present tโ€ฆ

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From No-Regret to Strategically Robust Learning in Repeated Auctions

Junyao Zhao ยท 2026

In Bayesian single-item auctions, a monotone bidding strategy--one that prescribes a higher bid for a higher value type--can be equivalently represented as a partition of the quantile space into conseโ€ฆ

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Comparative Analysis of Hash-based Malware Clustering via K-Means

Aink Acrie Soe Thein, Nikolaos Pitropakis, Pavlos Papadopoulos, Sam Grierson, Sana Ullah Jan ยท 2025

With the adoption of multiple digital devices in everyday life, the cyber-attack surface has increased. Adversaries are continuously exploring new avenues to exploit them and deploy malware. On the otโ€ฆ

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Fast list recovery of univariate multiplicity and folded Reed-Solomon codes

Rohan Goyal, Prahladh Harsha, Mrinal Kumar, Ashutosh Shankar ยท 2025

A recent work of Goyal, Harsha, Kumar and Shankar gave nearly linear time algorithms for the list decoding of Folded Reed-Solomon codes (FRS) and univariate multiplicity codes up to list decoding capaโ€ฆ

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Computing the Elementary Symmetric Polynomials in Positive Characteristics

Ian Orzel ยท 2025

We first extend the results of Chatterjee,Kumar,Shi,Volk(Computational Complexity 2022) by showing that the degree $d$ elementary symmetric polynomials in $n$ variables have formula lower bounds of $\โ€ฆ

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A Simple PTAS for Weighted $k$-means and Sensor Coverage

Akash Pareek, Supratim Shit ยท 2025

Clustering is a fundamental technique in data analysis, with the $k$-means being one of the widely studied objectives due to its simplicity and broad applicability. In many practical scenarios, data pโ€ฆ

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Challenging Disability and Interaction Norms in XR: Cooling Down the Empathy Machine in Waiting for Hands

Yesica Duarte, Puneet Jain ยท 2025

Virtual Reality (VR) is often described as the "ultimate empathy machine," framing disability as an experience to be simulated through such technologies, which can reduce disability to a spectacle of โ€ฆ

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Improved bicriteria approximation for $k$-edge-connectivity

Zeev Nutov ยท 2025

In the $k$-Edge Connected Spanning Subgraph ($k$-ECSS) problem we are given a (multi-)graph $G=(V,E)$ with edge costs and an integer $k$, and seek a min-cost $k$-edge-connected spanning subgraph of $Gโ€ฆ

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Constant-depth circuits for polynomial GCD over any characteristic

Somnath Bhattacharjee, Mrinal Kumar, Shanthanu Rai, Varun Ramanathan, Ramprasad Saptharishi, Shubhangi Saraf ยท 2025

We show that the GCD of two univariate polynomials can be computed by (piece-wise) algebraic circuits of constant depth and polynomial size over any sufficiently large field, regardless of the charactโ€ฆ

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Closure under factorization from a result of Furstenberg

Somnath Bhattacharjee, Mrinal Kumar, Shanthanu S. Rai, Varun Ramanathan, Ramprasad Saptharishi, Shubhangi Saraf ยท 2025

We show that algebraic formulas and constant-depth circuits are closed under taking factors. In other words, we show that if a multivariate polynomial over a field of characteristic zero has a small cโ€ฆ

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